Data Scientist
Data Science, Python, Cloud
Description
GSPANN is looking for a highly skilled and experienced Data Scientist with a strong background in machine learning, computer vision, natural language processing (NLP), generative artificial intelligence (AI), and cloud technologies.
Who We Are
GSPANN has been in business for over a decade, with over 2000 employees worldwide, and servicing some of the largest retail, high technology, and manufacturing clients in North America. We provide an environment that enables career growth while still interacting with company leadership.
Visit Why GSPANN for more information.
Location: Hyderabad / Pune / Gurugram
Role Type: Full Time
Published On: 10 August 2023
Experience: 5+ Years
Description
GSPANN is looking for a highly skilled and experienced Data Scientist with a strong background in machine learning, computer vision, natural language processing (NLP), generative artificial intelligence (AI), and cloud technologies.
Role and Responsibilities
- Lead the data science team - drive the development and implementation of advanced data models and algorithms to extract meaningful insights from complex datasets.
- Work closely with cross-functional teams, including engineers, researchers, and product managers, to design and deploy cutting-edge AI solutions that address our business needs.
- Drive the end-to-end development and deployment of machine learning models, from data collection and preprocessing to model training and evaluation, leveraging cloud-based infrastructure and services.
- Collaborate with cross-functional teams to understand and translate business requirements into data science projects that deliver tangible value.
- Develop and implement advanced algorithms and models for computer vision, NLP, and generative AI, using deep learning, reinforcement learning, and natural language understanding techniques while leveraging cloud-based machine learning platforms.
- Conduct thorough exploratory data analysis and feature engineering to extract meaningful insights and identify key patterns within complex datasets.
- Stay up-to-date with the latest advancements in machine learning, computer vision, NLP, generative AI, and cloud technologies, and apply the latest research findings to enhance existing models and algorithms.
- Evaluate and select appropriate cloud-based tools, frameworks, and services to support data science initiatives, ensuring scalability, reliability, and cost-efficiency.
- Collaborate with cloud engineering teams to optimize the deployment and management of machine learning models in cloud environments.
- Communicate complex technical concepts and findings to both technical and non-technical stakeholders through clear and concise presentations and reports.
Skills and Experience
- Bachelor's or master's degree in computer science, data science, or a related field.
- Specialty in Statistics is mandatory, and a Ph.D. is a plus.
- Minimum of 3 years of experience in machine learning, with a focus on computer vision, NLP, generative AI, and cloud technologies.
- Strong expertise in programming languages such as Python and proficiency in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Proven experience in developing and implementing machine learning models for computer vision tasks, including object detection, image segmentation, and image classification.
- Deep understanding of NLP techniques, such as natural language understanding, sentiment analysis, named entity recognition, and text classification.
- Familiarity with generative AI models, such as generative adversarial networks (GANs) and variational autoencoders (VAEs).
- Solid knowledge of deep learning architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers.
- Experience working with large-scale datasets and data preprocessing techniques.
- Proficiency in data visualization and exploratory data analysis.
- Strong analytical and problem-solving skills, with the ability to think critically and creatively to solve complex challenges.
- Experience with at least one cloud platforms such as AWS, Azure, or Google Cloud, including knowledge of cloud-based machine learning services and infrastructure.
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.
